Evaluating multimedia features and fusion for example-based event detection
Multimedia event detection (MED) is a challenging problem because of the heterogeneous
content and variable quality found in large collections of Internet videos. To study the value
of multimedia features and fusion for representing and learning events from a set of example
video clips, we created SESAME, a system for video SEarch with Speed and Accuracy for
Multimedia Events. SESAME includes multiple bag-of-words event classifiers based on
single data types: low-level visual, motion, and audio features; high-level semantic visual …
content and variable quality found in large collections of Internet videos. To study the value
of multimedia features and fusion for representing and learning events from a set of example
video clips, we created SESAME, a system for video SEarch with Speed and Accuracy for
Multimedia Events. SESAME includes multiple bag-of-words event classifiers based on
single data types: low-level visual, motion, and audio features; high-level semantic visual …
Evaluating multimedia features and fusion for example-based event detection (Open Access-Publisher's Version)
GK Myers, R Nallapati, J Van Hout, S Pancoast… - 2013 - apps.dtic.mil
Multimedia event detection MED is a challenging problem because of the heterogeneous
content and variable quality found in large collections of Internet videos. To study the value
of multimedia features and fusion for representing and learning events from a set of example
video clips, we created SESAME, a system for video SEarch with Speed and Accuracy for
Multimedia Events. SESAME includes multiple bag-of-words event classifiers based on
single data types low-level visual, motion, and audio features high-level semantic visual …
content and variable quality found in large collections of Internet videos. To study the value
of multimedia features and fusion for representing and learning events from a set of example
video clips, we created SESAME, a system for video SEarch with Speed and Accuracy for
Multimedia Events. SESAME includes multiple bag-of-words event classifiers based on
single data types low-level visual, motion, and audio features high-level semantic visual …
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